Evidence map›Paper›PMID 41570487›Full record

SynthesisPatient education and counseling2026

A mixed methods systematic review of cancer treatment decision-making in vulnerable populations.

Charmaine L Blanchard, Patricia McInerney, Maureen Joffe, Moosa Patel, Holly G Prigerson, Shane Norris

Abstract readSystematic Review
In one paragraph

Synthesis in Patient education and counseling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Charmaine L BlanchardStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Non-Communicable Diseases Research Division, Wits Health Consortium, Johannesburg, South Africa. Electronic address: charmaine.blanchard@wits.ac.za.
Patricia McInerneyFaculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Maureen JoffeStrengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Non-Communicable Diseases Research Division, Wits Health Consortium, Johannesburg, South Africa.
Moosa PatelDivision of Haematological Oncology, Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Holly G PrigersonDepartment of Radiology, Department of Medicine, Weill Cornell Medicine, Cornell Center for Research on End-of-Life Care, New York, New York, USA.
Shane NorrisMRC/Wits Developmental Pathways for Health Research Unit, University of the Witwatersrand, Department of Paediatrics, Faculty of Health Sciences, Johannesburg, South Africa.

Funding

Psychosocial Approaches to Better Understanding & End-Stage Cancer Care (PROTECT)R35CA197730 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Holly Gwen Prigerson · 2015 to 2026
$11.2M
Novel predictors of survival among breast cancer patients with/without HIV in South AfricaR01CA250012 · NCI · WITS HEALTH CONSORTIUM (PTY), LTD · PI CUBASCH, HERBERT, EL-SADR, WAFAA M. · 2020 to 2024
$2.0M
HIV's Effects on Breast Cancer Treatment and Outcomes in South AfricaR01CA192627 · NCI · WITS HEALTH CONSORTIUM (PTY), LTD · PI JACOBSON, JUDITH S, JOFFE, MAUREEN · 2015 to 2019
$1.7M
NCI NIH HHS R01 CA192627NCI NIH HHS R01 CA250012NCI NIH HHS R35 CA197730Wellcome Trust
6 · The paper itself

Abstract

introductionVulnerable cancer patients are at risk of making uninformed treatment decisions. Most patient decision aids (PtDAs) have been developed for high-income country (HIC) populations, with limited testing or adaptation for use in vulnerable populations, either contextually or geographically. This review aimed to understand how PtDAs address the treatment decision-making needs of vulnerable cancer patients.

methodsWe conducted a mixed-methods systematic review of RCTs and other effectiveness studies of PtDAs as well as qualitative studies on the treatment decision-making experiences of vulnerable adults (≥18 years) with cancer. Eight databases were searched. Following PRISMA guidelines, we screened for eligible studies and appraised their methodological quality. Qualitative and quantitative findings were synthesized separately and then integrated to identify gaps and alignments between PtDA design and patient-reported decision support needs.

resultsTwenty-six studies met the inclusion criteria (14 quantitative, 11 qualitative, and one mixed method). Qualitative synthesis showed that vulnerable patients experienced high emotional and psychosocial burdens, preferred in-person support, and often encountered mismatches between their preferred and actual decision-making roles. The narrative synthesis of quantitative studies showed that most PtDAs improved knowledge (5/7 studies) and reduced decisional conflict (6/7), while their effects on shared decision-making were mixed (3/5). DISCUSSION: PtDAs that provided clear, concise information and were delivered face-to-face better addressed the needs of vulnerable patients than self-administered tools. Although patients reported significant emotional and psychosocial burdens, no PtDAs included structured counselling. PRACTICE IMPLICATIONS: Patient decision aids should be tailored to meet the informational, emotional, and role-support needs of vulnerable cancer patients, particularly in resource-constrained settings.

Indexed as

Decision MakingDecision Support TechniquesNeoplasmsPatient ParticipationVulnerable PopulationsHumansQualitative ResearchLow to middle income countriesMixed method reviewOncologyPatient treatment decision aidsVulnerable persons

Identifiers

PMID41570487
PMCPMC13419551

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.